Updated instructions for running Docker image.

Author: chcost

README.md

@@ -92,18 +92,16 @@ You can try CodeFlare by running the docker image from [Docker Hub](https://hub.
 
 The command below starts the most recent development build in a clean environment:
 
-```
-docker run -it -p 8888:8888 projectcodeflare/codeflare:latest jupyter-lab --debug
+```bash
+docker run --rm -it -p 8888:8888 projectcodeflare/codeflare:latest
 ```
 
 It should produce an output similar to the one below, where you can then find the URL to run CodeFlare from a Jupyter notebook in your local browser.
 
 ```
-    To access the notebook, open this file in a browser:
- ...
-    Or copy and paste one of these URLs:
-        http://<token>:8888/?token=<token>
-     or http://127.0.0.1:8888/?token=<token>
+[I <time_stamp> ServerApp] Jupyter Server <version> is running at:
+...
+[I <time_stamp> ServerApp]     http://127.0.0.1:8888/lab
 ```
 
 #### Using Binder service

docs/source/getting_started/installation.md

@@ -53,18 +53,16 @@ You can try CodeFlare by running the docker image from [Docker Hub](https://hub.
 
 The command below starts the most recent development build in a clean environment:
 
-```
-docker run -it -p 8888:8888 projectcodeflare/codeflare:latest jupyter-lab --debug
+```bash
+docker run --rm -it -p 8888:8888 projectcodeflare/codeflare:latest
 ```
 
 It should produce an output similar to the one below, where you can then find the URL to run CodeFlare from a Jupyter notebook in your local browser.
 
 ```
-    To access the notebook, open this file in a browser:
- ...
-    Or copy and paste one of these URLs:
-        http://<token>:8888/?token=<token>
-     or http://127.0.0.1:8888/?token=<token>
+[I <time_stamp> ServerApp] Jupyter Server <version> is running at:
+...
+[I <time_stamp> ServerApp]     http://127.0.0.1:8888/lab
 ```
 
 #### Using Binder service

docs/source/getting_started/overview.md

@@ -21,9 +21,9 @@ limitations under the License.
 CodeFlare's main features are: 
 
 * **Pipeline execution and scaling**:
-CodeFlare Pipelines facilities the definition and parallel execution of pipelines. It unifies pipeline workflows across multiple frameworks while providing nearly optimal scale-out parallelism on pipelined computations.
+CodeFlare Pipelines faciltates the definition and parallel execution of pipelines. It unifies pipeline workflows across multiple frameworks while providing nearly optimal scale-out parallelism on pipelined computations.
 
 * **Deploy and integrate anywhere**: 
-CodeFlare simplifies deployment and integration by enabling a serverless user experience with the integration with Red Hat Open Shift and IBM Cloud Code Engine and integrating adapters and connectors to make it simple to load data and connect to data services.
+CodeFlare simplifies deployment and integration by enabling a serverless user experience with the integration with Red Hat OpenShift and IBM Cloud Code Engine and providing adapters and connectors to make it simple to load data and connect to data services.
 
 ![CodeFlare Architecture](../images/codeflare_arch_diagram.svg)